Sri Lanka vs Thailand: Sugar Crops Primary — Gross Production Index Number
Sri Lanka
83.82
in 2024
Thailand
84.7
in 2024
Sri Lanka rank
88th
Thailand rank
87th
Sugar Crops Primary — Gross Production Index Number over time
- Sri Lanka
- Thailand
How they compare
Thailand currently reports 84.7 against 83.82 in Sri Lanka, a difference of 0.88.
The two have swapped places 7 times across 64 shared years of data; in 1961 it was Sri Lanka ahead.
Sri Lanka ranks 88th and Thailand ranks 87th of 123 countries.
Across the 7 decades both report, Sri Lanka averaged higher in 6 and Thailand in 1.
Head to head by decade
| Decade | Sri Lanka | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 16.5 | 2.78 | 13.73 | Sri Lanka |
| 1970s | 28.14 | 14.44 | 13.7 | Sri Lanka |
| 1980s | 69.67 | 25.55 | 44.12 | Sri Lanka |
| 1990s | 130.03 | 47.2 | 82.84 | Sri Lanka |
| 2000s | 116.3 | 62.14 | 54.16 | Sri Lanka |
| 2010s | 92.9 | 104.23 | 11.33 | Thailand |
| 2020s | 97.66 | 84.31 | 13.34 | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar crops primary — gross production index number, Sri Lanka or Thailand?
- Thailand, at 84.7 against 83.82 in Sri Lanka as of 2024.
- What is the difference in sugar crops primary — gross production index number between Sri Lanka and Thailand?
- 0.88, with Thailand ahead.
- How many years of comparable data are there for Sri Lanka and Thailand?
- 64 years are reported by both, from 1961 to 2024.
- How do Sri Lanka and Thailand rank globally for sugar crops primary — gross production index number?
- Sri Lanka ranks 88th and Thailand ranks 87th of 123 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar Crops Primary — Gross Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.